Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Iman Kassam"'
Autor:
Tracie Risling, Iman Kassam, Hwayeon Danielle Shin, Courtney Carlberg, Tyler Moss, Sheng Chen, Clement Ma, Gillian Strudwick
Publikováno v:
BMC Digital Health, Vol 2, Iss 1, Pp 1-15 (2024)
Abstract Background Despite the growing adoption of digital health tools as a means to support mental health, many individuals remain unaware of the variety of mental health resources available to them through this format. To address this knowledge g
Externí odkaz:
https://doaj.org/article/5d400e1511364069b67c135bc666df36
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e42507 (2023)
BackgroundThe increasing integration of digital health tools into care may result in a greater flow of personal health information (PHI) between patients and providers. Although privacy legislation governs how entities may collect, use, or share PHI,
Externí odkaz:
https://doaj.org/article/60cd993bcdc14c7fa3e4d213db7af8a0
Autor:
Iman Kassam, Hwayeon Danielle Shin, Keri Durocher, Brian Lo, Nelson Shen, Rohan Mehta, Sanjeev Sockalingam, David Wiljer, David Gratzer, Lydia Sequeira, Gillian Strudwick
Publikováno v:
Digital Health, Vol 8 (2022)
Background OpenNotes is the concept of patients having access to their health records and clinical notes in a digital form. In psychiatric settings, clinicians often feel uncomfortable with this concept, and require support during implementation. Obj
Externí odkaz:
https://doaj.org/article/0060e151bba2407b8261572924b8d9fb
Autor:
Nelson Shen, Iman Kassam, Sheng Chen, Clement Ma, Wei Wang, Navi Boparai, Damian Jankowicz, Gillian Strudwick
Publikováno v:
Digital Health, Vol 8 (2022)
Objectives The impact of the COVID-19 pandemic on population mental health has highlighted the potential for digital mental health to support the needs of those requiring care. This study sought to understand the digital mental health experiences and
Externí odkaz:
https://doaj.org/article/a4c22a85c9d9429ca95abbafaee8a5b0
Autor:
Nelson Shen, Iman Kassam, Haoyu Zhao, Sheng Chen, Wei Wang, Sarah Wickham, Gillian Strudwick, Abigail Carter-Langford
Publikováno v:
JMIR Medical Informatics, Vol 10, Iss 3, p e30986 (2022)
BackgroundCanadians are increasingly gaining web-based access to digital health services, and they expect to access their data from these services through a central patient access channel. Implementing data sharing between these services will require
Externí odkaz:
https://doaj.org/article/5980b704bcaa4b72b8022157a068c965
Autor:
Gillian Strudwick, Iman Kassam, Patricia Janssen, Tracie Risling, Courtney Carlberg, Tyler Moss, Steve Iduye
Publikováno v:
BMJ Open, Vol 11, Iss 11 (2021)
Introduction The global COVID-19 pandemic has reported to have a negative impact on the mental health and well-being of individuals around the world. Mental health system infrastructure, primarily developed to support individuals through in-person ca
Externí odkaz:
https://doaj.org/article/9b6bfe7c80e04295928eabfd48202041
Autor:
Jessica Kemp, Jill Chorney, Iman Kassam, Julie MacDonald, Tara MacDonald, Lori Wozney, Gillian Strudwick
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 10, p e30491 (2021)
BackgroundThe COVID-19 pandemic has increased the demand for youth mental health services in Canada as disruptions to clinical care continue to persist due to the risk of transmission and exposure to the virus. Digital mental health interventions, in
Externí odkaz:
https://doaj.org/article/ae6e92925b904f73a18d48cbdc482291
BACKGROUND The increasing integration of digital health tools into care may result in a greater flow of personal health information (PHI) between patients and providers. Although privacy legislation governs how entities may collect, use, or share PHI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::325944cd1267de37a846b5fd0e2a5e7e
https://doi.org/10.2196/preprints.42507
https://doi.org/10.2196/preprints.42507
Publikováno v:
Studies in health technology and informatics. 290
Numerous benefits have been shown when OpenNotes functionality is present in a patient portal. Despite the benefits, many mental health providers have demonstrated concern with regards to sharing their clinical documentation with their patients elect
Publikováno v:
Studies in health technology and informatics. 290
Machine learning models are often trained on sociodemographic features to predict mental health outcomes. Biases in the collection of race-related data can limit the development of useful and fair models. To assess the current state of this data in m